This version of the course guide is provisional until the period for editing the new course guides ends.

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Master's Degree Dissertation

Code: 43856 ECTS Credits: 6
2025/2026
Degree Type Year
Geoinformación TFE 1

Contact

Name:
Anna Badia Perpinya
Email:
anna.badia@uab.cat

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

The Master’s Degree Dissertation has to be done necessarily in the second semester, once the rest of the modules of the specialty have been completed.


Objectives and Contextualisation

The goal of the Master’s Degree Dissertation is to be able to carry out an actual applied project to be suggested by students or choosen from the list of practical cases proposed and coordinated by the professors responsible of each spacialty (one coordinator for specialty). The Master’s Degree Dissertation must be presented as a scientific paper and has to be defended in the presence of a committee made up of three teachers from the Master programme. The student has to demonstrate to have achieved the skills of the Master programme and that he or she is able to integrate them.


Learning Outcomes

  1. CA32 (Competence) Examine the feasibility of designing and implementing a project on Geoinformation.
  2. CA32 (Competence) Examine the feasibility of designing and implementing a project on Geoinformation.
  3. CA33 (Competence) Create a paper in the form of an article incorporating geoinformation knowledge related to the management of territories and smart cities.
  4. CA33 (Competence) Create a paper in the form of an article incorporating geoinformation knowledge related to the management of territories and smart cities.
  5. CA34 (Competence) Communicate the results of their own research orally and in writing, with the necessary resources, conceptual precision and expository clarity.
  6. CA34 (Competence) Communicate the results of their own research orally and in writing, with the necessary resources, conceptual precision and expository clarity.
  7. CA35 (Competence) Defend the processes and results of a project in a solid and well-argued way.
  8. KA28 (Knowledge) Identify the fundamental elements of an applied subject of study for its correct analysis, including current legislation and social aspects.
  9. KA28 (Knowledge) Identify the fundamental elements of an applied subject of study for its correct analysis, including current legislation and social aspects.
  10. KA29 (Knowledge) Explain the process of building and implementing a geoinformation project related to the management of territories and smart cities.
  11. KA30 (Knowledge) Write a paper in the form of an article incorporating geoinformation knowledge related to the management of territories and smart cities.
  12. SA33 (Skill) Analyse the needs of potential users of a project or application related to geoinformation.
  13. SA34 (Skill) Apply the analysis and research methods of geoinformation.
  14. SA35 (Skill) Distinguish the methodologies related to different parameters of Geoinformation designed to work on a practical, applied and real project.

Content

Development and implementation of a methodological and technical solution for an actual specific need of an application, product or service with geospatial content proposed by an external organization (company, government or institution).


Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Tutorials 8 0.32
Type: Supervised      
Results revision and quality control 8 0.32
Type: Autonomous      
Research and development 104 4.16

The Master’s Degree Dissertation is based mainly in the student autonomous work, which includes the practical work of development and implementations, bibliographical and documental search, and the writing of the formal report od the Dissertation as well as the material support for its oral presentation.

The monitoring and management of the entire process of preparation, delivery and evaluation of the Final Master's Thesis, which will take the form of an article, will be carried out through the TFE platform (http://tfe.uab.cat) where you will find all the key dates from the initial meeting to the delivery of the TFM (26-6-25) and its defense (3-7-25).

The activities that could not be done onsite will be adapted to an online format made available through the UAB’s virtual tools. Exercises, projects and lectures will be carried out using virtual tools such as tutorials, videos, Teams sessions, etc. Lecturers will ensure that students are able to access these virtual tools, or will offer them feasible alternatives.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Oral presentation of the Master's Degree Dissertation 30 9 0.36 CA32, CA33, CA34, CA35, KA28, KA29, SA33, SA34, SA35
Report of the Master's Degree Dissertation 70 21 0.84 CA32, CA33, CA34, CA35, KA28, KA29, KA30, SA33, SA34, SA35

In the event that assessment activities cannot be taken onsite, they will be adapted to an online format made available through the UAB’s virtual tools (original weighting will be maintained). Homework, activities and class participation will be carried out through forums, wikis and/or discussion on Teams, etc. Lecturers will ensure that students are able to access these virtual tools, or will offer them feasible alternatives.

a) Evaluation procedure and activities:

Assesment of the Master’s Degree Dissertation includes both the evaluation of the formal report of the Dissertation (70% of the total grading) and the evaluation of the oral presentation of the Dissertation (30% of the grading).

Assignment of Tutor February-March 2026 and preparation of the TFM during the second semester.

The evaluation rubric can be consulted through the tool https://tfe.uab.cat/tfe2/

b) Evaluation schedule through the TFE tool (https://tfe.uab.cat/tfe2/):

 Notes of the initial meeting with Tutor: first week of practice.

 Delivery of the drafting of the objectives and provisional index of the work: deadline 21 May 2026.

 Delivery of the draft of the TFM: deadline 11 June 2026.

 Report of the Master’s Degree Dissertation: Making during the 2nd semester. Submission at the end of semester, on  June 25th 2026.

Oral presentation of the Master’s Degree Dissertation: Making during the 2nd semester. Oral presentation at the end of semester, on July 2th 2026.

c) Grade revision:

Once the grades obtained are published, students will have one week to apply for a grade revision by arranging an appointment with the corresponding teachers.

d) Procedure for reassessment:

The Master’s Degree Dissertation can not be reassessed.

e) Conditions for a ‘Not assessable’ grade:

Students will receive the grade ‘Notassessable’ instead of ‘Fail’ if they had not submitted neither the Master's Degree Dissertation report nor done the oral presentation of the dissertation.

f) UAB regulations on plagiarism and other irregularities in the assessment process:

In the event of a student committing any irregularity that may lead to a significant variation in the grade awarded to an assessment activity, the student will be given a zero for this activity, regardless of any disciplinary process that may take place. In the event of several irregularities in assessment activities of the same subject, the student will be given a zero as the final grade for this subject..

Assessment acitivities with a zero grade because of irregularities can not be reassessed.

This subject/module does not incorporate single assessment. On carrying out each evaluation activity, lecturers will inform students of the procedures to be followed for reviewing all grades awarded, and the date on which such a review will take place.

For this subject, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks. Students must clearly identify which parts have been generated with this technology, specify the tools used, and include a critical reflection on how these have influenced the process and the final outcome of the activity. Non-transparency in the use of AI in this assessable activity will be considered a lack of academic honesty and may lead to a partial or total penalty in the activity's grade, or more severe sanctions in serious cases.


Bibliography

Not aplicable.


Software

Programmer of the master's degree available in the computer room and in the companies that carry out the internships.

Groups and Languages

Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.